What problem does it solve? Automotive engineers working with SE-TOOL/SystemWeaver struggle to understand what a requirement or Software Component (SWC) actually does, especially when internal signals hide the real physical signal chains across requirements and SWCs. This Skill performs deep requirement analysis so test engineers and developers get a complete, unambiguous picture before writing test cases or code. ## Core Features & Use Cases - Full Signal Chain Resolution: Resolves every internal signal to its producer and consumer requirements, tracing back to physical CAN/LIN inputs and outputs, including cross-SWC and loopback detection. - Ambiguity Detection: Systematically checks against a catalog of 22 known ambiguity types (missing operators, undefined thresholds, shared output arbitration gaps) with severity ratings. - Structured Reports and Diagram Specs: Generates a comprehensive analysis report plus machine-readable JSON diagram specifications for downstream Mermaid rendering. - Use Case: Given a swap:// URL or XID like x0400000000A03F2A, the Skill retrieves the requirement context from SystemWeaver via Loom MCP tools, classifies the requirement pattern, maps all signals, flags specification gaps, and outputs test case guidance. ## Quick Start Analyze the requirement at swap://setoolvbc.srv.volvo.com:3001/x0400000000A03F2A and give me a full signal map with test case recommendations.